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Published on: December 1, 2023
Multichannel blind deconvolution of polarimetric imagery
Daniel A Lemaster1, Stephen C Cain
1Department of Electrical and Comupter Engineering, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio 45433, USA. daniel.lemaster@wpafb.af.mil
Summary
A new maximum likelihood blind deconvolution algorithm estimates scene polarization and point spread functions for incoherent polarimetric imagery. This method accurately determines the linear polarization state using expectation maximization, validated with laboratory data.
Area of Science:
- Optics and Photonics
- Image Processing
- Remote Sensing
Background:
- Polarimetric imaging captures scene information beyond intensity, including polarization state.
- Blind deconvolution aims to recover scene information without prior knowledge of the Point Spread Function (PSF).
- Existing methods may struggle with unambiguous determination of linear polarization states.
Purpose of the Study:
- To develop a blind deconvolution algorithm for incoherent polarimetric imagery.
- To estimate unpolarized and polarized scene components, polarization angles, and channel PSFs.
- To achieve unambiguous determination of the scene's linear polarization state.
Main Methods:
- Derivation of a maximum likelihood blind deconvolution algorithm.
- Application of the expectation maximization (EM) algorithm.
- Estimation of scene polarization states (unpolarized and fully polarized) and PSFs.
Main Results:
- Successful estimation of unpolarized and fully polarized scene components.
- Accurate determination of polarization angles.
- Unambiguous retrieval of channel point spread functions.
- Validation of the algorithm using laboratory experimental data.
Conclusions:
- The proposed expectation maximization-based blind deconvolution algorithm effectively processes incoherent polarimetric imagery.
- The method provides unambiguous determination of linear polarization states.
- This technique offers a robust approach for analyzing polarimetric data in various applications.
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